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노령화로 인한 국민연금의 새로운 제도 방향: 연령별 차등 보험료율, 소득대체율 적용
박상홍,김은수,박이슬,이지윤,전두배 국제문화기술진흥원 2018 The Journal of the Convergence on Culture Technolo Vol.4 No.4
The fourth fiscal estimate of the national pension following the aging of the population and falling yields estimated that the fund ran out in 2057, three years earlier than the third fiscal calculation. Accordingly, the government proposed a plan to immediately raise the insurance premium rate by 2 percent and maintain the income replacement rate by 45 percent, and to reduce the income replacement rate by 40 percent in 2028. In this form, increasing premiums and reducing income replacement rates will allow younger generations to sign up differently from existing subscribers, who previously had higher income replacement rates at lower rates. Therefore, the study aims to ease the burden on the elderly and younger by applying different insurance rates and income replacement rates for different ages. 인구 노령화 및 수익률 하락에 따른 국민연금 제4차 재정추계 결과 3차 재정계산보다 3년 빠른 2057년도에 기금이 소진되는 것으로 추계되었다. 이에 따라 정부에서는 4차 제도개혁 방안으로 보험료율을 즉시 2% 인상하고 소득대체율 45% 유지하는 (가)안과 보험료율을 13.5%로 단계적 인상 후 소득대체율을 2028년에 40%까지 줄이는 (나)안을 제시하였다. 이와 같은 형식으로 보험료율을 인상하고 소득대체율을 줄여나가면 이전의 낮은 보험료율에 높은 소득대체율을 적용받던 기존가입자와는 다르게 새로 가입하게 되는 젊은 세대들은 높은 보험료율과 적은 소득대체율을적용받게 된다. 이에 본 연구는 연령별로 다른 보험료율과 소득대체율을 적용하여 노년층과 젊은층의 부담을 완화하고자 한다.
박상홍(Sang H. Park),최인오(In O. Choi),주문갑(Moon G. Joo) 한국정보기술학회 2012 한국정보기술학회논문지 Vol.10 No.4
The range profile using a compressed radar chirp signal can be very useful for anti-collision of automobiles and the traffic control because it provides the information of automobiles regardless of weather, or the day and night conditions. In this paper, we conducted a research on the real-time classification method of automobiles and the required radar bandwidth using useful features composed of central moment and generalized central moment and three simple forms of classifiers; nearest neighbor classifier, matching score classifier and neural network classifier. According to the simulation results using five automobiles composed of 3D scatterers, efficient classification of automobiles was achieved by a combination of central moment and nearest neighbor classifier at the bandwidth of 200㎒.
박상홍(Sang-Hong Park),주문갑(Moon G. Joo) 한국정보기술학회 2011 한국정보기술학회논문지 Vol.9 No.3
The inverse synthetic aperture radar (ISAR) image can be effective in the target recognition because it provides the 2-D image using the frequency data measured at various observation angles. However, because scatterers must be properly spread to yield good classification results, the authors analyzed the possibility of forming the effective ISAR image for the three observation scenarios of the targets moving in formation and the method of the effective target recognition. Simulation result using 3-D point scatterers of real fighters flying in formation, the range-Doppler algorithm and the proposed segmentation method of targets flying in formation shows that the proposed scheme is effective for the target classification when it is moving obliquely.
정회인,박상홍,최재호,김경태,Jung, Hoi-In,Park, Sang-Hong,Choi, Jae-Ho,Kim, Kyung-Tae 한국군사과학기술학회 2020 한국군사과학기술학회지 Vol.23 No.2
In order to set up radar cross section(RCS) reduction factors for a target, the scattering point position of the target should be identified through inverse synthetic aperture radar(ISAR) image analysis. For this purpose, ISAR image focusing is important. Maritime ship is non-linear maneuvering in the sea, however, which blur the ISAR image. To solve this problem, translational and rotational motion compensation are essential to form focused ISAR image. In this paper, hourglass and ISAR image analysis are performed on the collected data in the sea instead of using the prediction software tool, which takes much time and cost to make computer-aided design(CAD) model of the ship.
최인오,박상홍 한국정보기술학회 2014 한국정보기술학회논문지 Vol. No.
KOMSAR supervised by Agency for Defence Development had been developed domestically as a useful radar equipment which can be applied regardless of the day and night conditions. There were admirable evaluations about military application of KOMSAR manufactured by the pure domestic technology, and both it’s merit and practicality were proved by means of a number of tests. In this paper, we conducted the efficient target recognition by using the returned radar signals of the Boeing747 aircraft measured by KOMSAR. Using the high resolution range profile (HRRP) obtained by matched-filtering, we constructed the database of the four targets by using the four sets of the independent HRRPs from different aspect-angles. In experiments using useful features and classifier, multi-aspect classification ratios higher than 99% were obtained by using the threshold higher than 0.1% of the maximum value. 국내에서는 국방과학연구소 주관으로 주야간 전천후 운용 가능한 한국형 소형 레이더 KOMSAR(Korea Miniature Synthetic Aperture Radar)를 개발 완료하였다. 순수 국내 기술로 개발된 KOMSAR의 군사적 활용가능성은 매우 높게 평가되며, 수차례의 시험을 통하여 그 가치와 실용성이 입증되었다. 본 논문에서는 KOMSAR에 의해 실제 측정된 Boeing747 항공기의 레이더 반사 신호를 사용하여 효과적인 표적식별기법 성능을 검증하였다. 정합필터링을 이용하여 1차원의 산란분포도인 고해상도 거리 측면도(high resolution range profile, HRRP)를 구성한 뒤, 각각 다른 관측각도에서 HRRP들을 독립적인 4개의 표적으로 가정하여 데이터베이스를 구축하였다. 효율적인 특성벡터 및 구분기를 사용하여 표적을 식별한 결과, 임계값 0.1%이하의 다중각도에서 99%이상의 높은 구분성능을 얻을 수 있었다.